Live: Using Machine-Learning and Historical Data to Predict Soft Capping Situations
Project and Program:
MVS,
MVS Performance
Tags:
Proceedings ,
SHARE Providence 2017 ,
2017
When you are near your cap, the pressure is on. Debating between violating the cap and eating the cost, or impacting SLAs is heated and sometimes a downright fight. We want to show you how we are using performance monitoring, machine learning, and automation to give us additional time to make the right decision and even automate the situation to avoid the problem in the first place.-Lowell Higley-CA Technologies; Hans Peeters-CA Technologies
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